Gabriella Pasini

1.5k total citations
49 papers, 1.1k citations indexed

About

Gabriella Pasini is a scholar working on Food Science, Nutrition and Dietetics and Immunology and Allergy. According to data from OpenAlex, Gabriella Pasini has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Food Science, 17 papers in Nutrition and Dietetics and 14 papers in Immunology and Allergy. Recurrent topics in Gabriella Pasini's work include Food composition and properties (15 papers), Food Allergy and Anaphylaxis Research (14 papers) and Fermentation and Sensory Analysis (10 papers). Gabriella Pasini is often cited by papers focused on Food composition and properties (15 papers), Food Allergy and Anaphylaxis Research (14 papers) and Fermentation and Sensory Analysis (10 papers). Gabriella Pasini collaborates with scholars based in Italy, Argentina and Algeria. Gabriella Pasini's co-authors include Barbara Simonato, Andrea Curioni, Matteo Giannattasio, Roberta Tolve, Fabio Favati, Federica Mainente, Angelo D. B. Peruffo, Serena Tolin, Sara Trevisan and Simone Vincenzi and has published in prestigious journals such as Gastroenterology, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Gabriella Pasini

48 papers receiving 1.1k citations

Peers

Gabriella Pasini
Comparison fields: 5 of 93
  • Food Science 478
  • Nutrition and Dietetics 370
  • Plant Science 311
  • Immunology and Allergy 240
  • Molecular Biology 172
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Xiaowen Pi China
Guadalupe Préstamo Spain
Mauro Marengo Italy
Fangyu Long China
Hetty C. van den Broeck Netherlands
Guanhao Bu China
Ondulla T. Toomer United States
Z. Libudzisz Poland
Stefano Cattaneo Italy
G. Rollán Argentina
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Citations per field, relative to Gabriella Pasini
Gabriella Pasini · 1×
Citations per year, relative to Gabriella Pasini
Gabriella Pasini · 1×

Countries citing papers authored by Gabriella Pasini

Since Specialization
Citations

This map shows the geographic impact of Gabriella Pasini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gabriella Pasini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Pasini more than expected).

Fields of papers citing papers by Gabriella Pasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriella Pasini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gabriella Pasini. The network helps show where Gabriella Pasini may publish in the future.

Co-authorship network of co-authors of Gabriella Pasini

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Pasini. A scholar is included among the top collaborators of Gabriella Pasini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriella Pasini. Gabriella Pasini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 7
6 2
7 2
8 17
9 2
10 77
11 2
12 105
13 1
14 7
15 43
16 25
17 4
18
Evaluation of fining efficiency of corn zeins in red wine: a preliminary study
13
19 37
20 9

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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